21211 – Data scientists

Broad Occupation Category

2 - Natural and applied sciences and related occupations.


1 – Occupations usually require a university degree

Major Group

21 – Professional occupations in natural and applied sciences

Broad Occupation Category

212 – Professional occupations in applied sciences (except engineering)

Broad Occupation Category

2121 – Mathematicians, statisticians, actuaries and data scientists

Data scientists use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations. They are employed by consulting firms, universities, banks and information technology departments in the private and public sectors.

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Example Titles

  • Data architect

  • Data scientist

  • Machine learning engineer

  • Machine learning specialist

  • Quantitative analyst

Main Duties

This group performs some or all of the following duties:

  • Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient

  • Perform large-scale experimentation to identify hidden relationships between variables in large datasets

  • Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and , neural networks

  • Prepare and extract data using programming language

  • Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems

  • Visualize data in a way that allows a business to quickly draw conclusions and make decisions

  • Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization.

  • Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data

Employment Requirements

  • A bachelor's degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required.

  • A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.

  • Experience in programming is usually required.

  • Experience in statistical modelling or machine learning is usually required